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Volumn 66, Issue STAR, 2010, Pages 87-97

Towards lifelong learning and organization of whole body motion patterns

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN MOTIONS; INCREMENTAL LEARNING; KNOWLEDGE BASE; KNOWLEDGE DOMAINS; LIFE LONG LEARNING; MODEL REPRESENTATION; MODEL SIZE; MODEL SPACES; MOTION CAPTURE DATA; MOTION PATTERN; MOTION PRIMITIVES; MOTION RECOGNITION; OBSERVATION OF HUMAN MOTION; RELATIVE DISTANCES; TREE LEAVES; TREE STRUCTURES; WHOLE-BODY MOTION;

EID: 78651080657     PISSN: 16107438     EISSN: 1610742X     Source Type: Book Series    
DOI: 10.1007/978-3-642-14743-2_8     Document Type: Conference Paper
Times cited : (5)

References (17)
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    • Diday, E.1    Simon, J.C.2
  • 6
  • 8
    • 48149083857 scopus 로고    scopus 로고
    • Symbolic memory for humanoid robots using hierarchical bifurcations of attractors in nonmonotonic neural networks
    • Kadone, H., Nakamura, Y.: Symbolic memory for humanoid robots using hierarchical bifurcations of attractors in nonmonotonic neural networks. In: International Conference on Intelligent Robots and Systems, pp. 2900-2905 (2005)
    • (2005) International Conference on Intelligent Robots and Systems , pp. 2900-2905
    • Kadone, H.1    Nakamura, Y.2
  • 9
    • 48149109279 scopus 로고    scopus 로고
    • Segmentation, memorization, recognition and abstraction of humanoid motions based on correlations and associative memory
    • Kadone, H., Nakamura, Y.: Segmentation, memorization, recognition and abstraction of humanoid motions based on correlations and associative memory. In: IEEERAS International Conference on Humanoid Robots, pp. 1-6 (2006)
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    • Ogata, T.1    Sugano, S.2    Tani, J.3
  • 15
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    • A tutorial on hidden markov models and selected applications in speech recognition
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    • Rabiner, L.R.1
  • 17
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    • Humanoid robot's autonomous acquisition of protosymbols through motion segmentation
    • Takano, W., Nakamura, Y.: Humanoid robot's autonomous acquisition of protosymbols through motion segmentation. In: IEEE-RAS International Conference on Humanoid Robots, pp. 425-431 (2006)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.